If there is a time deadline by which training must be completed, or if it simply takes too long to complete training, distributing the workload across many GPUs can be used to reduce training time. This flexibility allows GPU resources to be maximally utilized and provides high ROI since time to results can be minimized. HPE highlights recent research that explores the performance of GPUs in a scale-out and scale-up scenarios for deep learning training.

Industry Perspectives

In this special guest feature, Brian D’alessandro, Director of Data Science at SparkBeyond, discusses how AI is a learning curve, and exploring opportunities within the technology further extends its potential to enable transformation and generate impact. It can shape workflows to drive efficiency and growth opportunities, while automating other workflows and create new business models. While AI empowers us with the ability to predict the future — we have the opportunity to change it. [READ MORE…]

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White Papers

Tapping into the power of big data and analytics can be daunting. Download a new white paper from Pure Storage that explores how to jump into the world of big data and emerging AI technology, and take advantage of its benefits. The company’s research of emerging trends revealed three challenges of big data, and opportunities therein.